KEMA selects GreenBus platform for Smart Grid Interoperability Lab


Ron Chebra, Vice
President, KEMA
Burlington, MA and Denver, CO, U.S.A. — (METERING.COM) — September 5, 2011 – KEMA has selected Green Energy Corp’s GreenBus® software platform for operation in its Smart Grid Interop Lab.

GreenBus enables power providers to become more efficient and reduce operational costs by automating processes, capturing a higher volume of real-time grid operational data and allowing applications to securely share data.

The Smart Grid Interop Lab, which is being developed with Duke Energy and is interoperable from multiple locations, is aimed to provide the utility industry a platform for managing risk exposure, verifying business case projections, and securing a more effective and efficient smart grid deployment. The Smart Grid Interop Lab is an advanced test facility that offers independent verification of device interoperability. It also validates compliance of low voltage automation devices, meters, and consumer products with evolving smart grid standards.

“KEMA is excited to put the GreenBus open, vendor agnostic architecture to use for our customers, because it allows applications to interoperate and access grid operations data in real time,” said Ron Chebra, KEMA vice president. “Utilities invest in costly and time consuming trials to prove interoperability. The Smart Grid Interop Lab can emulate the utility’s proposed production environment at a fraction of the time and cost of a typical interoperability pilot.”

Green Energy Corp will design, develop, install, and support the monitoring and control of advanced power system applications. These include: energy management systems, distribution management systems, outage management systems, automated meter reading, advanced metering infrastructure, meter data management, home area networks, load management, demand response, distributed generation, PMU integration, and bi-directional power flows.

GreenBus will be configured and implemented to integrate applications that determine interoperability, scalability, and reliability in utility or microgrid deployments. It will also be used to demonstrate operational effectiveness, through its advanced data acquisition and control platform.